Results 71 to 80 of about 36,780 (203)
Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction
ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi +6 more
wiley +1 more source
随着卫星定位技术和移动互联网技术的飞速发展,地理空间数据来源变得更加多源异构.面对海量地理空间数据,如何快速有效地找到目标周围的兴趣点变得异常重要.依据空间k近邻(kNN)查询算法,提高效率的关键在数据索引和数据块存储结构设计,通过引入云计算的MapReduce编程模型,设计了一种面向MapReduce的地理空间数据双层倒排网格索引,利用CircularTrip算法实现了目标点近邻查询计算,最终获得距离目标点最邻近的数据点集.实验结果表明,该索引方法较单层倒排网格索引下的kNN查询效率有明显提高 ...
ZHAOMinchao(赵敏超) +4 more
doaj +1 more source
ABSTRACT Background Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.
Rupanjan Roy +3 more
wiley +1 more source
Interpretable decision-tree induction in a big data parallel framework
When running data-mining algorithms on big data platforms, a parallel, distributed framework, such asMAPREDUCE, may be used. However, in a parallel framework, each individual model fits the data allocated to its own computing node without necessarily ...
Weinberg Abraham Itzhak, Last Mark
doaj +1 more source
MIREX: MapReduce Information Retrieval Experiments [PDF]
We propose to use MapReduce to quickly test new retrieval approaches on a cluster of machines by sequentially scanning all documents. We present a small case study in which we use a cluster of 15 low cost ma- chines to search a web crawl of 0.5 billion ...
Hauff, Claudia, Hiemstra, Djoerd
core +6 more sources
Smart Healthcare: The Role of Digital Health in Modern Medicine
Implementation of Digital Health. Innovations in Digital Health. Challenges in Digital Health. ABSTRACT Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible, efficient, and personalized. From electronic health records, telemedicine, wearable devices, and artificial intelligence to the recent ...
Nidha Shapoo +3 more
wiley +1 more source
ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov +12 more
wiley +1 more source
Processing of raw astronomical data of large volume by MapReduce model
Exponential grow of volume, increased quality of data in current and incoming sky surveys open new horizons for astrophysics but require new approaches to data processing especially big data technologies and cloud computing.
S. . Gerasimov +4 more
doaj +1 more source
ABSTRACT Background Cloud Computing has established itself as an efficient and cost‐effective paradigm for the execution of web‐based applications, and scientific workloads, that need elasticity and on‐demand scalability capabilities. However, the evaluation of novel resource provisioning and management techniques is a major challenge due to the ...
Remo Andreoli +3 more
wiley +1 more source
Experimenting sensitivity-based anonymization framework in apache spark
One of the biggest concerns of big data and analytics is privacy. We believe the forthcoming frameworks and theories will establish several solutions for the privacy protection.
Mohammed Al-Zobbi +2 more
doaj +1 more source

